Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.7 * weight - 45
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Cavendish
1
70 kgSchets
2
74 kgCiolek
11
75 kgKluge
13
83 kgKux
21
74 kg
1
70 kgSchets
2
74 kgCiolek
11
75 kgKluge
13
83 kgKux
21
74 kg
Weight (KG) →
Result →
83
70
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVENDISH Mark | 70 |
| 2 | SCHETS Steve | 74 |
| 11 | CIOLEK Gerald | 75 |
| 13 | KLUGE Roger | 83 |
| 21 | KUX Christian | 74 |